Dosimetric Evaluation of Different Algorithms on Heterogeneous Slab Phantom Using CMS XiO and MONACO Treatment Planning System for 4MV, 6MV and 15MV Beam Energy: An Institutional Study
Ajay Katake, Lalit Kumar, Balbir Singh, Nijun Mishra, Pradeep Gurjar, Rajesh Vashistha, Deepak Basandrai · 2024
Read Dosimetric Evaluation of Different Algorithms on Heterogeneous Slab Phantom Using CMS XiO and MONACO Treatment Planning System for 4MV, 6MV and 15MV Beam Energy: An Institutional Study by Ajay Katake, Lalit Kumar, Balbir Singh, Nijun Mishra, Pradeep Gurjar, Rajesh Vashistha, Deepak Basandrai (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12008326.txt.
Description
Ajay Katake and co-authors compare five dose-calculation algorithms inside two radiotherapy planning systems, using a phantom with air gaps, in a 2024 study. Getting dose right where tissue meets air pockets is a known weak spot. Styrofoam slabs of three thicknesses faked the gaps, and doses were computed at three beam energies for two field sizes.
An ion chamber supplied the ground truth. The Monte Carlo algorithm strayed least from measurement at every energy and gap, with worst deviations near five percent. Convolution, superposition, and collapsed-cone methods wandered further. The authors conclude that Monte Carlo is the superior choice for dose computation in low-density, uneven media, the very anatomy where lung treatments live.
Catalog record
| CREATOR | Ajay Katake, Lalit Kumar, Balbir Singh, Nijun Mishra, Pradeep Gurjar, Rajesh Vashistha, Deepak Basandrai |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 24 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |